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DTSTART:20191103T020000
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RDATE:20201101T020000
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UID:calendar.392261.field_event_date.0@www.wright.edu
DTSTAMP:20260220T000908Z
CREATED:20200417T145935Z
DESCRIPTION:Webex Meeting Link:https://wright.webex.com/wright/j.php?MTID=m
 2a6a03dcbbc75aeb5a275da6d8fa1560Ph.D. Committee:  Drs. Tanvi Banerjee (adv
 isor)\, Yong Pei\, Thomas Wischgoll\, Mateen Rizki\, and Michael Riley (Un
 iversity of Cincinnati) ABSTRACT:Activities of Daily Living (ADL's) are th
 e activities that people perform every day in their home as part of their 
 typical routine. The in-home\, automated monitoring of ADL's has broad uti
 lity for intelligent systems that enable independent living for the elderl
 y and mentally or physically disabled individuals. With rising interest in
  electronic health (e-Health) and mobile health (m-Health) technology\, op
 portunities abound for the integration of activity monitoring systems into
  these newer forms of healthcare.In this dissertation we propose a novel s
 ystem for describing ADL's based on video collected from a wearable camera
 . Most in-home activities are naturally defined by interaction with object
 s. We leverage these object-centric activity definitions to develop a set 
 of rules for a Fuzzy Inference System (FIS) that uses video features and t
 he identification of objects to identify and classify activities. Further\
 , we demonstrate that the use of FIS enhances the reliability of the syste
 m and provides enhance explainability and interpretability of results over
  popular machine-learning classifiers. 
DTSTART;TZID=America/New_York:20200422T150000
DTEND;TZID=America/New_York:20200422T170000
LAST-MODIFIED:20200417T150713Z
LOCATION:Webex Virtual Event
SUMMARY:Ph.D. Dissertation Proposal Defense Bridging the Gap between Atomic
  and Complex Activities in First Person Video using Fuzzy Inference By Bra
 dley Schneider
URL;TYPE=URI:/events/phd-dissertation-proposal-defens
 e-bridging-gap-between-atomic-complex-activities-first-person
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